Content of review 1, reviewed on August 18, 2020
Abstract, title and references The aim of the research is clear and the flow of explaining the algorithm in all its details is also clear, despite the generality of the results that the researcher put in the abstract. As for the title, it is related to the scientific material presented, and I would have preferred to define the chaotic type used in the title. The references were recent and directly related to the topic, and studies of scientific value were selected for comparison only. The researcher could use a newer reference for Source No.[29].
Introduction/background The introduction was nicely graded, but it missed the most important application of medical images, which is compression of medical images.As for defining the goal of the research with a clear question, this was done through a full explanation of the medical image teams from other images in addition to explaining the importance of the techniques used and their characteristics when used in the field of image processing.
Methods The treatment process was clear of steps and also explained thoroughly all the tools used in the algorithm As for the methods of study, they are reliable, approved, and widely used in this field, which gives the researcher the desire to repeat scientific research in this particular specialty for the positive motivation that he provides by using the tools mentioned above.
Results The tables and figures are relevant to the topic and have been well coordinated in terms of appropriate units, rounding, and the number of approved decimals. The text was clearly expressing the contents of these tables, but it was better to compare the medical images only and add them to the tables without adopting regular images (Like LINA image) for the specificity of the search in these particular images and to distinguish them by the intensity of lighting or blackness they contain. The researcher can use it to highlight his work.
Discussion and Conclusions The results were discussed scientifically and from quite a few angles, and the conclusions were good and realistic, but the research lacked the context of the future debate about the frequency of the use of chaos in cryptography in general and the feasibility of its association with the DNA algorithm. Can they form a single team together for a long future? The aforementioned conclusions were supported by references or findings, and promising the repetition of these mechanisms in the future.
Overall The study, in general, is good, and it was designed in a scientific way that is interconnected with previous and contemporary researches as well, away from any fancy additions. As for what this study will add, it is a lot, especially in the field of encoding medical images and the urgent need for them in these days in particular, amidst our suffering from medical scare about the epidemic Although the techniques used by the researcher were used in advance and extensively The main disadvantages is that the work is not explained to the internal stages in forms and images that support them, but the article is generally very good.
Source
© 2020 the Reviewer.
References
Akram, B., Muhammad, T., Sofiane, K., Wei, X. 2019. Novel Medical Image Encryption Scheme Based on Chaos a DNA Encoding. IEEE Access.
